Department of Physics, University of California, Santa Barbara, Santa Barbara, USA.
Department of Mechanical Engineering, University of California, Santa Barbara, Santa Barbara, USA.
Appl Psychophysiol Biofeedback. 2022 Sep;47(3):213-222. doi: 10.1007/s10484-022-09549-z. Epub 2022 Jun 15.
Pulse rate variability is a physiological parameter that has been extensively studied and correlated with many physical ailments. However, the phase relationship between inter-beat interval, IBI, and breathing has very rarely been studied. Develop a technique by which the phase relationship between IBI and breathing can be accurately and efficiently extracted from photoplethysmography (PPG) data. A program based on Lock-in Amplifier technology was written in Python to implement a novel technique, Dynamic Phase Extraction. It was tested using a breath pacer and a PPG sensor on 6 subjects who followed a breath pacer at varied breathing rates. The data were then analyzed using both traditional methods and the novel technique (Dynamic Phase Extraction) utilizing a breath pacer. Pulse data was extracted using a PPG sensor. Dynamic Phase Extraction (DPE) gave the magnitudes of the variation in IBI associated with breathing [Formula: see text] measured with photoplethysmography during paced breathing (with premature ventricular contractions, abnormal arrhythmias, and other artifacts edited out). [Formula: see text] correlated well with two standard measures of pulse rate variability: the Standard Deviation of the inter-beat interval (SDNN) (ρ = 0.911) and with the integrated value of the Power Spectral Density between 0.04 and 0.15 Hz (Low Frequency Power or LF Power) (ρ = 0.885). These correlations were comparable to the correlation between the SDNN and the LF Power (ρ = 0.877). In addition to the magnitude [Formula: see text], Dynamic Phase Extraction also gave the phase between the breath pacer and the changes in the inter-beat interval (IBI) due to respiratory sinus arrythmia (RSA), and correlated well with the phase extracted using a Fourier transform (ρ = 0.857). Dynamic Phase Extraction can extract both the phase between the breath pacer and the changes in IBI due to the respiratory sinus arrhythmia component of pulse rate variability ([Formula: see text], but is limited by needing a breath pacer.
脉搏率变异性是一个已经被广泛研究并与许多身体疾病相关联的生理参数。然而,心跳间隔(IBI)与呼吸之间的相位关系却很少被研究。开发一种技术,以便从光体积描记图(PPG)数据中准确有效地提取 IBI 与呼吸之间的相位关系。使用 Python 编写了一个基于锁相放大器技术的程序,实现了一种新的技术,即动态相位提取。它在 6 名受试者身上进行了测试,这些受试者使用呼吸节奏器以不同的呼吸频率进行呼吸,使用 PPG 传感器来测试该程序。然后使用传统方法和新的技术(动态相位提取)分析数据,同时利用呼吸节奏器。使用 PPG 传感器提取脉搏数据。动态相位提取(DPE)给出了与呼吸相关的 IBI 变化幅度[公式:见文本],使用光体积描记法在有节奏的呼吸期间(编辑过早的心室收缩、异常心律失常和其他伪影)测量。[公式:见文本]与脉搏率变异性的两个标准测量值高度相关:心跳间隔的标准差(SDNN)(ρ=0.911)和 0.04 至 0.15 Hz 之间的功率谱密度积分值(低频功率或 LF 功率)(ρ=0.885)。这些相关性与 SDNN 和 LF 功率之间的相关性(ρ=0.877)相当。除了幅度[公式:见文本]之外,动态相位提取还给出了呼吸节奏器和呼吸窦性心律失常(RSA)引起的 IBI 变化之间的相位,并且与使用傅里叶变换提取的相位高度相关(ρ=0.857)。动态相位提取可以提取呼吸节奏器和呼吸窦性心律失常引起的 IBI 变化之间的相位([公式:见文本],但受到需要呼吸节奏器的限制。